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Cross-modality interactive attention network for multispectral pedestrian detection 期刊论文
INFORMATION FUSION, 2019, 卷号: 50, 页码: 20-29
Authors:  Zhang, Lu;  Liu, Zhiyong;  Zhang, Shifeng;  Yang, Xu;  Qiao, Hong;  Huang, Kaizhu;  Hussain, Amir
Favorite  |  View/Download:50/0  |  Submit date:2019/07/11
Pedestrian detection  Modality fusion  Cross-modality attention  Deep neural networks  
Stochastic Conjugate Gradient Algorithm With Variance Reduction 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 5, 页码: 1360-1369
Authors:  Jin, Xiao-Bo;  Zhang, Xu-Yao;  Huang, Kaizhu;  Geng, Guang-Gang
Favorite  |  View/Download:21/0  |  Submit date:2019/07/11
Computational efficiency  covariance reduction  empirical risk minimization (ERM)  linear convergence  stochastic conjugate gradient (CG)  
Guided Policy Search for Sequential Multitask Learning 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2019, 卷号: 49, 期号: 1, 页码: 216-226
Authors:  Xiong, Fangzhou;  Sun, Biao;  Yang, Xu;  Qiao, Hong;  Huang, Kaizhu;  Hussain, Amir;  Liu, Zhiyong
View  |  Adobe PDF(1059Kb)  |  Favorite  |  View/Download:42/1  |  Submit date:2019/07/12
Elastic weight consolidation (EWC)  guided policy search (GPS)  reinforcement learning (RL)  sequential multitask learning  
Primitives Generation Policy Learning without Catastrophic Forgetting for Robotic Manipulation 会议论文
, China National Convention Center (CNCC), Beijing, November 8-11, 2019
Authors:  Fangzhou Xiong;  Zhiyong Liu;  Kaizhu Huang;  Xu Yang;  Amir Hussain
View  |  Adobe PDF(277Kb)  |  Favorite  |  View/Download:20/4  |  Submit date:2020/04/26
A fast projected fixed-point algorithm for large graph matching 期刊论文
PATTERN RECOGNITION, 2016, 卷号: 60, 页码: 971-982
Authors:  Lu, Yao;  Huang, Kaizhu;  Liu, Cheng-Lin
Favorite  |  View/Download:84/0  |  Submit date:2016/12/26
Graph Matching  Projected Fixed-point  Large Graph Algorithm  Feature Correspondence  Point Matching  
MTC: A Fast and Robust Graph-Based Transductive Learning Method 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 9, 页码: 1979-1991
Authors:  Zhang, Yan-Ming;  Huang, Kaizhu;  Geng, Guang-Gang;  Liu, Cheng-Lin
View  |  Adobe PDF(3026Kb)  |  Favorite  |  View/Download:123/23  |  Submit date:2015/10/13
Graph-based Method  Large-scale Manifold Learning  Semisupervised Learning (Ssl)  Transductive Learning (Tl)  
Learning Locality Preserving Graph from Data 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART-B, 2014, 卷号: 44, 期号: 11, 页码: 2088-2098
Authors:  Zhang, Yan-Ming;  Huang, Kaizhu;  Hou, Xinwen;  Liu, Cheng-Lin
View  |  Adobe PDF(9074Kb)  |  Favorite  |  View/Download:110/19  |  Submit date:2015/08/12
Combination of Classification and Clustering Results with Label Propagation 期刊论文
IEEE SIGNAL PROCESSING LETTERS, 2014, 卷号: 21, 期号: 5, 页码: 610-614
Authors:  Zhang, Xu-Yao;  Yang, Peipei;  Zhang, Yan-Ming;  Huang, Kaizhu;  Liu, Cheng-Lin
View  |  Adobe PDF(1012Kb)  |  Favorite  |  View/Download:136/24  |  Submit date:2015/08/12
Classification  Clustering  Label Propagation  
Geometry preserving multi-task metric learning 期刊论文
MACHINE LEARNING, 2013, 卷号: 92, 期号: 1, 页码: 133-175
Authors:  Yang, Peipei;  Huang, Kaizhu;  Liu, Cheng-Lin
Adobe PDF(1626Kb)  |  Favorite  |  View/Download:109/18  |  Submit date:2015/08/12
Multi-task Learning  Metric Learning  Geometry Preserving  Von Neumann Divergence  Bregman Matrix Divergence  
A multi-task framework for metric learning with common subspace 期刊论文
NEURAL COMPUTING & APPLICATIONS, 2013, 卷号: 22, 期号: 7-8, 页码: 1337-1347
Authors:  Yang, Peipei;  Huang, Kaizhu;  Liu, Cheng-Lin
Adobe PDF(753Kb)  |  Favorite  |  View/Download:86/19  |  Submit date:2015/08/12
Multi-task Learning  Metric Learning  Low Rank  Subspace